@inproceedings{KovalenkoWKSB14,
  author    = {Olga Kovalenko and
               Dietmar Winkler and
               Marcos Kalinowski and
               Estefan{\'{\i}}a Serral and
               Stefan Biffl},
  title     = {Engineering Process Improvement in Heterogeneous Multi-disciplinary
               Environments with Defect Causal Analysis},
  abstract  = {Multi-disciplinary engineering environments, e.g., in automation systems engineering, typically involve different stakeholder groups and engineering disciplines using a variety of specific tools and data models. Defects in individual disciplines can have a major impact on product and process quality in terms of additional cost and effort for defect repair and can lead to project delays. Early defects detection and avoidance in future projects are key challenges for project and quality managers to improve the product and process quality. In this paper we present an adaptation of the defect causal analysis (DCA) approach, which has been found effective and efficient to improve product quality in software engineering contexts. Applying DCA in multi-disciplinary engineering environments enables a systematic analysis of defects and candidate root causes, and can help providing countermeasures for product and process quality. The feasibility study of the adapted DCA has shown that the adaptation is useful and enables improving defect detection and prevention in multi-disciplinary engineering projects and fosters engineering process improvement. © Springer-Verlag Berlin Heidelberg 2014.},			   
  booktitle = {Systems, Software and Services Process Improvement - 21st European
               Conference, EuroSPI 2014, Luxembourg, June 25-27, 2014. Proceedings},
  pages     = {73-85},
  year      = {2014},
  urlAuthor_version       = {http://www.inf.puc-rio.br/~kalinowski/publications/KovalenkoWKSB14.pdf},
  doi       = {10.1007/978-3-662-43896-1_7},
}

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Defects in individual disciplines can have a major impact on product and process quality in terms of additional cost and effort for defect repair and can lead to project delays. Early defects detection and avoidance in future projects are key challenges for project and quality managers to improve the product and process quality. In this paper we present an adaptation of the defect causal analysis (DCA) approach, which has been found effective and efficient to improve product quality in software engineering contexts. Applying DCA in multi-disciplinary engineering environments enables a systematic analysis of defects and candidate root causes, and can help providing countermeasures for product and process quality. The feasibility study of the adapted DCA has shown that the adaptation is useful and enables improving defect detection and prevention in multi-disciplinary engineering projects and fosters engineering process improvement. © Springer-Verlag Berlin Heidelberg 2014.","booktitle":"Systems, Software and Services Process Improvement - 21st European Conference, EuroSPI 2014, Luxembourg, June 25-27, 2014. Proceedings","pages":"73-85","year":"2014","urlauthor_version":"http://www.inf.puc-rio.br/~kalinowski/publications/KovalenkoWKSB14.pdf","doi":"10.1007/978-3-662-43896-1_7","bibtex":"@inproceedings{KovalenkoWKSB14,\r\n author = {Olga Kovalenko and\r\n Dietmar Winkler and\r\n Marcos Kalinowski and\r\n Estefan{\\'{\\i}}a Serral and\r\n Stefan Biffl},\r\n title = {Engineering Process Improvement in Heterogeneous Multi-disciplinary\r\n Environments with Defect Causal Analysis},\r\n abstract = {Multi-disciplinary engineering environments, e.g., in automation systems engineering, typically involve different stakeholder groups and engineering disciplines using a variety of specific tools and data models. Defects in individual disciplines can have a major impact on product and process quality in terms of additional cost and effort for defect repair and can lead to project delays. Early defects detection and avoidance in future projects are key challenges for project and quality managers to improve the product and process quality. In this paper we present an adaptation of the defect causal analysis (DCA) approach, which has been found effective and efficient to improve product quality in software engineering contexts. Applying DCA in multi-disciplinary engineering environments enables a systematic analysis of defects and candidate root causes, and can help providing countermeasures for product and process quality. The feasibility study of the adapted DCA has shown that the adaptation is useful and enables improving defect detection and prevention in multi-disciplinary engineering projects and fosters engineering process improvement. © Springer-Verlag Berlin Heidelberg 2014.},\t\t\t \r\n booktitle = {Systems, Software and Services Process Improvement - 21st European\r\n Conference, EuroSPI 2014, Luxembourg, June 25-27, 2014. Proceedings},\r\n pages = {73-85},\r\n year = {2014},\r\n urlAuthor_version = {http://www.inf.puc-rio.br/~kalinowski/publications/KovalenkoWKSB14.pdf},\r\n doi = {10.1007/978-3-662-43896-1_7},\r\n}\r\n\r\n","author_short":["Kovalenko, O.","Winkler, D.","Kalinowski, M.","Serral, E.","Biffl, S."],"key":"KovalenkoWKSB14","id":"KovalenkoWKSB14","bibbaseid":"kovalenko-winkler-kalinowski-serral-biffl-engineeringprocessimprovementinheterogeneousmultidisciplinaryenvironmentswithdefectcausalanalysis-2014","role":"author","urls":{"Author version":"http://www.inf.puc-rio.br/~kalinowski/publications/KovalenkoWKSB14.pdf"},"metadata":{"authorlinks":{"kalinowski, m":"https://www-di.inf.puc-rio.br/~kalinowski/publications.html"}},"downloads":0},"search_terms":["engineering","process","improvement","heterogeneous","multi","disciplinary","environments","defect","causal","analysis","kovalenko","winkler","kalinowski","serral","biffl"],"keywords":[],"authorIDs":["2B3zZtfuH9AmxpWuo","2QsG9mfJnwX6MTuoJ","2jrFxieEqzijPmHCy","49dv4suCFf46nEFSX","59a4710e2e4566ba6f00002f","5A6un3HSxZaPDiXPA","5BTmBrmMozf6YgG5J","5Xaa4eConBa76EZjB","5de815459b61e8de01000279","5dedbd05e47c43de01000074","5df2323f1e4fe9df010001ab","5df8262ddc1981de0100002b","5dfc0a4fb371afde010000ae","5e00d4f7ea72ecdf01000031","5e177d32cf35a4de010000b2","5e1c542be556c6de010000e5","5e24c7d1981ceddf01000056","5e273928557b88de0100018d","5e29e136888177df01000188","5e29e9bd8fb0e6de01000033","5e29ed5f8fb0e6de01000066","5e29edf08fb0e6de01000076","5e2f5ae926e5cadf0100022e","5e3731a0646a98de010001e3","5e3e9fdc8fc127df01000078","5e45b6010920e8de01000031","5e4dffdbcc196bde01000144","5e57fed4a38020de0100012b","5e5ea112c0a53dde010002a9","5e5f20398ca867de0100007b","5e5feba85241b5de01000152","5e612a1f97c182e901000006","5e62e7723ba99bdf0100011b","5e681423c1fce0de010003f7","5e6829e0dfcfe3de010002d5","5e68ed471a389bdf010002fe","5e692ffd6964dedf01000037","5e6a42a0e3f54ade0100021d","6QPwdbn4oBshmv7s4","6dqbLtPtqmDfPtn76","7NssSDosapMwtTvug","7qizdca9gsw4HKauB","7rCPkhvup9LNQxuFs","9qNKNW92qhDZCwqc9","9zsfZu5qMELTmAhjx","AKLEQwiRMbTHnbbxP","B3j35ujgEN7NnDuao","BC6rKyeyBW4rnvBoD","BEXQaGSxnsXwH6ywH","BWc4GQhzJPEzBWCii","BWrEB42G2rZBhMXWP","BoieZoFeBMJdL7szA","C3QHjz3o9QHY2KM5z","CDoE7ubzqSgQDw4No","D9yfAL4Cz9raPXGYt","DMAfbTM8MTudubAmg","E3kQ5FnruEw9rpydE","EQmGWRtm5iTqAJr79","EjYMP7BmZWnnCe2G9","Fjz6zCPk6dhrQh7ak","GfRgLSdsCnJcxHqk5","H9jTFvgcfA2frDvhj","J68AKX8noZCCaTSTC","JX7K3iwdPuCFmXLSK","KY7XQ7o9dYKbPfNvZ","LAPXFimEzgfLvJ3x5","NXfXCuu5e8PLD9tjP","NcXBcwHjnnYsqtJwj","P3xQviDsAA5Nyepbh","Q5HhB8XwWxviNHds8","QNZis6ZZX7Yjbx8dE","Qc6N7XXPtrqPpoz4E","SX7EYSkFddyzaBm6X","TEfrhfD2aFrBZaPoC","TdDrDsjDeT5x75mSb","X52u8rd5YXy5LA7un","XJLfEnjtpExqCJZaW","XMNYKpR8WAFvirRqK","XihJbHkzXLgRtNyxn","XsXTSrDqyDoKDSmNq","YqBvGBJjQxyDSh7S5","YyAJT6vXC6BKreqDz","Zrx3awt824zfj7sSq","auNZr9WLsGE5yM95y","dFvjKbaZaDAq7ckZJ","dPKdaA8smJs9fD9aK","e3dB4oaTL7GMfFgxK","eNvtiALsMm2uYYycD","eyyzX9y5xtqzMnTRj","gz3th4fHvqAew9t4d","hXHpEcrrfJ2s2iYfG","hdQfGGPRY6SRzm5Ko","iMFD4aggCkDpRbjzY","iSDp642Wcpz8tx3Et","idw5XK3YYZ9zoiTRQ","jQSpXNQ9zGdK9MNg5","jnzKc2JyGfzCkYHhd","juFRAZ7Ght5WjDjmL","k3N5QRHDiN6riZiAM","kd57C3edL7i8Wd84N","mfAwYkjQak83CbSTc","nrZNNBXjpC2enCsS6","o8dowv3jmQXqEKvC2","oab566NG74uXsBmwv","pAEkuNSzoQMJv6HEA","pPPN4e9LKJdN8Mxxy","pRJmqmExQ3P4YnarG","pcdRpqFz4kQKG67b2","peFdo2JYEZeDcgz5y","pmHQ27YZJtYA8bWLb","qRaeFjmTD9bcnWRpS","qujKQpt7j7DMJJ7RH","rhwhwtMA472RbPiq4","sgMZQR6tjyrtQJMjs","th5Bb6GjMT6NDynxY","tkio9AppMC7RRAmn3","up5b9JPmGJAE7cKzM","wE7ePiMnAtpNHo5xB","wjubqSThzCzkZtY4R","wuZMB8CeGEzZRou5r","x98pJyoike8bxbRn6","xSybShZMHQMQ8yMSF","xerEPhmhSdZJXb6QX","yqEQy2HisnquBmuLK","yvRZvxhXXSADSSiod","z8Hfj7RHYQjKdxD2H","zGAYQbmvDTTNydwuA"],"dataSources":["JhEx5LqjNuowkDTYw","fNxekpJ4iGWMdJryo","FPdHx2YNMWt6KHbaS","oL8GbjE74fizfjkxY","Wbj3iHa4hGsGjEGJE","q7rgFjFgwoTSGkm3G","aKfxcyv7C9p9ytdpG","9pAzChfPy53GguqQk","B8Jierr7smZsGa7Jb","tvqztEQv84agmtPEB","ZCce9uhx7vt9PXPrc","FGDKYBjH9upApdKoL","56kphca3KPjtFZJC6","JxJm4GfaRAd3NEw2w","iSfhee4nHcHz4F2WQ"]}